Where we started
The first project tackled by the Consortium was the COVID-19 crisis. The project provides summary information to identify geographic areas where medical encounters for viral symptoms are increasing and aims to determine whether those symptoms are due to influenza or COVID-19, where COVID-19 testing is inadequate, and where COVID-19 positivity rates are concerning. These data can help health systems better prepare and respond to the unfolding COVID-19 pandemic. Through the many waves of the surges and ebbs of the pandemic the Consortium data guided care groups and state agencies to set up testing sites and understand the impact of the pandemic on various ethnic groups and design programs to create equity in care delivery.
Early 2021 vaccines became available for residents in the state. While this was welcome news and some light at the end of the tunnel, another reality became apparent- The Minnesota Immunization Information Connection (MIIC) had some limitations. This is a confidential system that stores electronic immunization records at the MN Department of Health. Health care providers, schools, child care centers, health plans, pharmacies and other locations that can provide immunizations are all participants in the system. MIIC did not have any race or ethnicity information due to privacy rules. The MN Department of Health reached out to the EHR Consortium and a healthy public-private partnership emerged. The Consortium has access to more granular information and capabilities to merge novel data sources de-identified, and to report vaccine administration by race/ethnicity, language, comorbidity status, and other factors. The consortium data became crucial to inform the equitable distribution of COVID-19 vaccines and the state welcomed this partnership. Now not only could the State display this data on their public website, but plans could be developed around equitable Vaccine distribution by SVI (social vulnerability index), zip code and county to identify hot spots and high need areas to target. Prior to the EHR consortium data availability, MDH was lacking an equity metric aligned with strategy. Developed by the CDC, Social Vulnerability Index uses 15 census variables to identify communities that may need support before, during, or after disasters. In addition to a summary score, there are 4 themes: Socioeconomic status (below poverty, unemployed, income, no high school diploma), household composition & disability (aged 65 or older, aged 17 or younger, older than age 5 with a disability, single-parent households), race/ethnicity & language (minority status, speak English “less than well”), and housing type & transportation (multi-unit structures, mobile homes, crowding, no vehicle, group quarters).